# Center for Reproducible Systems for Biomedical Modeling

> **NIH NIH P41** · UNIVERSITY OF WASHINGTON · 2024 · $1,151,030

## Abstract

OVERALL: PROJECT SUMMARY
The long-term goal of the Center for Reproducible Biomedical Modeling is to achieve comprehensive predictive
models of biological systems, such as whole-cell models, that can guide precision medicine and synthetic
biology. In the previous cycle, we focused on model reproducibility. This culminated in the release of the
reproducibility portal, biosimulators.org. This was the result of working with over 80 collaborators around the
world.
For cycle 2, we plan to switch from model reproducibility to model credibility and more formal technologies that
deal with model decomposition and composition. Given the recent experience with the perception of poor
credibility of COVID models, developing technologies to help create and measure model credibility is critical
and above all timely to the biomedical community. Moreover, if biomedical models are ever to reach the clinic
and make a substantial impact, model credibility will be of utmost importance. No clinician will use a predictive
model without some degree of evidence and trust to substantiate the claims of a model's capabilities. Moreover,
for models of national importance that can affect policy decisions affecting millions of people, the ability to
automatically assess credibility of a model would seem paramount.
To achieve our goals, the three technology and research cores will focus on: (1) Credibility infrastructure,
credibility assessment metrics and model management and decomposition; (2) automated annotations, and
continuing to curate models for the reproducibility portal; (3) Implementing model composition for building
larger multiscale models that will exploit our multi-paradigm simulator farm underlying the reproducibility
portal.
We will buttress this technology through collaboration with an extremely wide range of collaborators and
service projects. Through our outreach and dissemination efforts we will make sure we inform, train and
encourage the community to move towards more systematic models approaches. Specifically. we will (1)
promote the importance of credible modeling by organizing meetings and publishing perspectives; (2) train
researchers to conduct modeling reproducibly and credible by organizing workshops and publishing tutorials;
and (3) help researchers and journals build, annotate, simulate, analyze, and verify models; (3) Host small
online competitions to encourage younger scientists to take on the baton and peruse more systematic model
development and testing.
The center was one of the first and still the only large-scale effort to make biomedical modeling reproducible.
With the proposed cycle 2 effort, the center will be the first large-scale effort to also work on biomodel
credibility. We anticipate that this unique center will accelerate the development of comprehensive predictive
models by enhancing the understandability, reusability, reproducibility, and credibility of biomedical modeling.

## Key facts

- **NIH application ID:** 10780529
- **Project number:** 2P41EB023912-06
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Ion I. Moraru
- **Activity code:** P41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $1,151,030
- **Award type:** 2
- **Project period:** 2018-06-13 → 2029-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10780529

## Citation

> US National Institutes of Health, RePORTER application 10780529, Center for Reproducible Systems for Biomedical Modeling (2P41EB023912-06). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10780529. Licensed CC0.

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